How to use michelleli99/emotion_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michelleli99/emotion_text_classifier")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michelleli99/emotion_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("michelleli99/emotion_text_classifier")
The accuracy and weighted F1 scores are not mentioned for this model, can you mention the accuracy for the model for each class?Also, what dataset is used for this emotion classification? Is there a link for it?
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